{JuliaConnectoR} dependency to improve discovery of Julia executable.New argument jlmer(fit = TRUE). If FALSE, returns the unfit model object.
New function jl_dict() to construct a Dictionary object using list() syntax.
Experimental support for MixedModels.profile() via profilelikelihood() with a tidy() method
Experimental implementation of an interface to setting OptSummary values via jlmer(optsum = list(...)).
New model helper function likelihoodratiotest() for conducting likelihood-ratio tests on nested models
Better detection of Julia executable
New function jl() to evaluate Julia expressions from string and return Julia objects, with options for interpolation of R objects via ....
New functions jl_get() and jl_put(), wrappers around JuliaConnectoR::juliaGet() and JuliaConnectoR::juliaPut().
parametricbootstrap() gains a optsum_overrides argument which accepts a list of values to override in the model OptSummary.
parametricbootstrap() now prints progress to the console.
Experimental support for MixedModels.parametricbootstrap() via parametricbootstrap() with a tidy() method.
jlme_setup() gains an add argument which accepts a character vector of additional Julia libraries to install and load on initializing the session.
Some common workflows in MixedModels.jl have been re-exported as functions: propertynames(), issingular()